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Spatial modelling of healthcare utilisation for treatment of fever in Namibia

Overview of attention for article published in International Journal of Health Geographics, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

policy
1 policy source
twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
185 Mendeley
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Title
Spatial modelling of healthcare utilisation for treatment of fever in Namibia
Published in
International Journal of Health Geographics, January 2012
DOI 10.1186/1476-072x-11-6
Pubmed ID
Authors

Victor A Alegana, Jim A Wright, Uusiku Pentrina, Abdisalan M Noor, Robert W Snow, Peter M Atkinson

Abstract

Health care utilization is affected by several factors including geographic accessibility. Empirical data on utilization of health facilities is important to understanding geographic accessibility and defining health facility catchments at a national level. Accurately defining catchment population improves the analysis of gaps in access, commodity needs and interpretation of disease incidence. Here, empirical household survey data on treatment seeking for fever were used to model the utilisation of public health facilities and define their catchment areas and populations in northern Namibia.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Kenya 2 1%
United Kingdom 2 1%
Sweden 1 <1%
Japan 1 <1%
India 1 <1%
Unknown 174 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 20%
Researcher 36 19%
Student > Ph. D. Student 32 17%
Student > Doctoral Student 12 6%
Student > Postgraduate 10 5%
Other 29 16%
Unknown 29 16%
Readers by discipline Count As %
Medicine and Dentistry 44 24%
Social Sciences 18 10%
Agricultural and Biological Sciences 13 7%
Computer Science 12 6%
Nursing and Health Professions 11 6%
Other 50 27%
Unknown 37 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2016.
All research outputs
#3,739,216
of 14,567,079 outputs
Outputs from International Journal of Health Geographics
#153
of 519 outputs
Outputs of similar age
#28,393
of 120,675 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 1 outputs
Altmetric has tracked 14,567,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 519 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 120,675 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them